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Immunology |
Department of Gastroenterology, Hepatology, and Endocrinology, Medizinische Hochschule Hannover, Hannover, Germany
Requests for reprints: Tim F. Greten, Department of Gastroenterology, Hepatology, and Endocrinology, Medizinische Hochschule Hannover, Hannover, Germany. Phone: 49-511-906-3566; Fax: 49-511-906-3534; E-mail: greten.tim{at}mh-hannover.de.
| Abstract |
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Key Words: Hepatocellular carcinoma regulatory T cell immunotherapy tumor infiltrating cells Foxp3
| Introduction |
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One approach that has shown promising results in other tumors is immunotherapy (4). Also in HCC, several different studies suggest that immunotherapeutic approaches will be successful for the treatment of this disease. Lymphocytic infiltration of the tumors is indicative of a better survival after surgical resection of the tumors (5). Adjuvant treatment with activated lymphocytes has also been shown to increase tumor-free survival after removal of the tumor (6) and first clinical trials using dendritic cells have been initiated (7, 8).
In addition, recently, we have shown tumor-specific cellular and humoral immune responses against NY-ESO-1 in HCC patients (9). Interestingly, we have found that >50% of HCC patients develop tumor-specific immune responses. However, in most patients analyzed, tumors progressed in spite of a tumor-specific humoral and cellular immune response. Therefore, we decided to analyze possible mechanisms, which might impact the potency of these tumor-specific immune responses in patients with HCC.
CD4+CD25+ regulatory T cells have been shown to play a critical role in immunologic self-tolerance as well as antitumor immune responses and transplantation (10, 11). CD4+CD25+-positive regulatory T cells represent 5% to 10% of human CD4+ T cells, are anergic, and do not proliferate on T-cell receptor stimulation in vitro (12). However, they can suppress the activation and proliferation of other CD4+ and CD8+ T cells (13, 14). Experimental tumor models have shown that removal of CD25+ T cells changes the immune response to tumors both in vitro and in vivo (15). Depletion of CD25+ T cells in mice resulted in a lower incidence or slower growth of B16 melanoma (16). Recently, the regulatory function of regulatory T cells on concomitant tumor immunity was further shown by Turk et al., who were able to show that depletion of regulatory T cells by either cyclophosphamide treatment or depletion of GITR+ cells resulted in a potent tumor-specific immune response in mice (17). In addition, it has been shown that regulatory T cells can impair induction of both antigen-specific and nonspecific T cells in autologous lymphocytes in melanoma patients (18, 19) and predict reduced survival in ovarian cancer patients (20).
Currently, no information on the role of regulatory T cells and their mechanism in HCC is available. Considering the importance of regulatory T cells in inhibiting effective antitumor immune responses, we studied these T cells in HCC patients. We analyzed peripheral blood from 84 HCC patients and compared the frequency of CD4+CD25+ T cells in these samples to patients with chronic hepatitis B virus (HBV)/hepatitis C virus (HCV) infection, healthy donors, and patients with nonviral liver cirrhosis. In addition, we assessed the proliferative and suppressive ability of CD4+CD25+ T cells in HCC patients, confirming their suppressive function of proliferation and cytokine release of autologous CD4+CD25 T cells. We have also analyzed regulatory T cells from tumor-infiltrating lymphocytes (TIL) of HCC patients as well as ascites to compare the tumor microenvironment to peripheral blood of these patients and show that, similarly, high numbers of regulatory T cells were present in the tumor of HCC patients. The increase in number of CD4+CD25+ regulatory T cells in HCC patients might play a role in suppression of immune response to tumors in these patients.
| Materials and Methods |
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Flow Cytometric Analysis. To determine the frequency and phenotype of regulatory T cells in PBMCs, TILs, and ascites, multicolor fluorescence-activated cell sorting analysis was done using the following antibodies: anti-CD4, anti-CD25, anti-HLA-DR, anti-CD45RA, anti-CD45RO, anti-CD152 (BD PharMingen, Heidelberg, Germany), and anti-GITR (R&D Systems, Weisbaden, Germany). Flow cytometry was done on a Becton Dickinson FACSCalibur using CellQuest software. Isotype-matched antibodies were used with all the samples as controls.
Proliferation and Suppression Assays. CD4+CD25 and CD4+CD25+ cells were sorted and purified as described above. The average purity of the cells after sorting was
98% to 99%. Cells from both fractions were cultured and stimulated with plate-bound anti-CD3 (Orthoclone, Janssen-Cilag, Wien, Austria) and 1 µg/mL soluble anti-CD28 (BD PharMingen) in the presence of 10 units/mL interleukin (IL)-2 (Proleukin, Chiron, Marburg, Germany) in 96-well round-bottomed plates for 72 hours. To determine the suppressive ability of CD4+CD25+ T cells, cocultures of CD4+CD25+ and CD4+CD25 cells with increasing concentrations of CD4+CD25+ cells were incubated with anti-CD3 and anti-CD28. Proliferation was measured after 72 hours by 3H incorporation. [3H]thymidine (Amersham, Freiburg, Germany) was added to the cultures and cell proliferation was measured by incorporation of radiolabeled thymidine for 16 to 18 hours. Incorporated radioactivity was measured using a scintillation counter (Wallac, Turku, Finland). For CD8+ T-cell proliferation, CD8+ T cells were purified by magnetic-activated cell separation affinity purification using CD8+ microbeads according to the manufacturer's instruction. The purified cells were incubated with increasing concentrations of sorted CD4+CD25+ T cells and tested in a proliferation assay as described above.
Transwell Analysis. CD4+CD25 and CD4+CD25+ cell populations were isolated as described above and cultured in Transwell plates (Greiner bio-one, Essen, Germany). Both chambers of Transwell received soluble anti-CD3 plus soluble anti-CD28 and IL-2 as described. The cytokine release of CD4+CD25 cells (1 x 105) plated in the lower chamber of each Transwell was monitored in the presence or absence of direct contact with 1 x 105 CD4+CD25+ cells by ELISA (R&D Systems).
Isolation of TILs. Tumor specimens were collected at the time of surgery and processed by cutting into small pieces and incubated in complete medium for 2 hours to obtain single cell suspensions. Resulting cells were washed twice in PBS and lymphocytes were isolated by Ficoll density gradient as described. CD4+CD25+ regulatory T cells were isolated as described above.
ELISA. Culture supernatants from the proliferation assays were removed before addition of [3H]thymidine and tested for IFN-
(Quantikine ELISA kit) or IL-10 (Immunotools, Friesoythe, Germany) production according to the manufacturer's instructions.
Analysis of Foxp3 Expression by Real-time PCR. CD4+CD25 and CD4+CD25+ cells were sorted as described above. RNA was isolated from both cell populations using the RNeasy kit (Qiagen, Hilden, Germany). cDNA was generated by SuperScript reverse transcriptase using oligo(dT) (Invitrogen Life Technologies, Karlsruhe, Germany). Transcript levels of Foxp3 and glyceraldehyde-3-phosphate dehydrogenase were quantified using real-time quantitative PCR and SYBR Green dye (iCycler iQ, Bio-Rad, Munich, Germany) using the following primers: Foxp3 forward 5'-CTACGCCACGCTCATCCGCTGG-3' and reverse 5'-GTAGGGTTGGAACACCTGCTGGG-3' and glyceraldehyde-3-phosphate dehydrogenase forward 5'-GAAGGTGAAGGTCGGAGTC-3' and reverse 5'-GAAGATGGTGATGGGATTTC-3'. Target cDNA was quantified using the delta-delta-CT method (24). Results are shown as relative Foxp3 mRNA levels.
Western Blot Analysis. CD4+ T cells were purified from freshly isolated PBMC of HCC patients and healthy controls. Nuclear extracts were prepared as described previously (25) and run on a 10% SDS gel. Foxp3 protein was detected using a polyclonal anti-Foxp3 antibody (Abcam, Cambridge, United Kingdom).
Statistical Analysis. Data are expressed as mean ± SE for percentages. Statistical analysis was done using Student's t test to assess differences between the different study groups. P < 0.01 was considered statistically significant.
| Results |
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1% to 4% of the CD4+ T-cell population; however, CD4+CD25low cells compromise
10% to 14% of CD4+ T cells. Representative dot plots of HCC patients and healthy donors are shown (Fig. 1A). Individual frequencies of CD4+CD25high cells as well as the cumulative data for all the patients and healthy donors analyzed are represented as scatter plots (Fig. 1B). As shown, the frequency of CD4+CD25high T cells in HCC patients was significantly higher in HCC patients (3.92 ± 3.3%) than in healthy donors (1.17 ± 0.87%), HBV (1.06 ± 0.68%), HCV (0.70 ± 0.45%), and liver cirrhosis (0.78 ± 0.43%) patients. The number of CD4+CD25+ T cells in HCC patients did not change depending on the presence of liver cirrhosis or hepatitis infection (data not shown). These numbers also did not correlate with stage of the disease. Thus, the prevalence of CD4+CD25+ cells in HCC patients was significantly higher (P < 0.001) than in healthy donors or patients with (P < 0.01) viral hepatitis.
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Expression of Foxp3 in CD4+CD25+ Cells. Foxp3 has been described recently as an important transcription factor and the most specific molecular marker for regulatory T cells known thus far (29). We analyzed the expression of Foxp3 in CD4+CD25 and CD4+CD25+ cells from HCC patients and healthy donors using real-time PCR. RNA was isolated from either sorted or magnetically purified CD4+CD25 and CD4+CD25+ cells as described in Materials and Methods. As shown in Fig. 2B, sorted CD4+CD25+ cells from both HCC and healthy donors expressed Foxp3, whereas CD4+CD25 cells expressed no or very little Foxp3. Additionally, Western blot analysis of CD4+ cells from HCC patients and healthy donors also confirmed the expression of Foxp3 in nuclear extracts (Fig. 2C). Overall, our data show that a high frequency of circulating CD4+CD25+ cells from HCC patients express GITR, CD45RO, CTLA-4, HLA-DR, and Foxp3 mRNA. These characteristics are highly indicative of regulatory CD4+CD25+ T cells already described in both healthy donors and cancer patients (26, 30). Therefore, the CD4+CD25+ cells detected in peripheral blood of HCC patients are indeed regulatory T cells.
Cytokine Profile of CD4+CD25+ T Cells. The cytokine expression profile of CD4+CD25+ T cells from HCC patients, healthy donors, and HCV/HBV patients were analyzed and compared with each other. Freshly isolated CD4+CD25 and CD4+CD25+ cells from different patient populations were stimulated with plate-bound anti-CD3 and soluble anti-CD28 and IL-2 for 72 hours. The culture supernatants were then assayed for IFN-
and IL-10 production by ELISA. As shown in Fig. 3, CD4+CD25 T cells from HCC patients (n = 9) predominantly secrete IFN-
with little or no secretion of IL-10, whereas CD4+CD25+ T cells mainly produce IL-10 (which is a cytokine known to inhibit T-cell proliferation) and very low levels of IFN-
. Similarly, both cell populations from healthy donors (n = 11) and patients with chronic HCV infection (n = 5) had the same cytokine profile (Fig. 3).
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production by CD4+CD25 was strongly inhibited by CD4+CD25+ cells as shown by ELISA (Fig. 4B). The supernatants from the proliferation cultures were analyzed for IFN-
secretion by ELISA, which showed that whenever the proliferation was inhibited the secretion of IFN-
also decreased in parallel. These data suggest that CD4+CD25+ T cells from HCC patients can also inhibit cytokine secretion and proliferation of autologous CD4+CD25 cells on T-cell receptor stimulation.
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68% and 46%, respectively. HLA-DR expression was also similar in both (65% for tumors and 62% for blood). Similar pattern was observed in ascites (Fig. 6D). Expression of Foxp3 was also found in CD4+CD25+ purified from TILs (Fig. 6E), reconfirming that the regulatory T cells were present in TILs of HCC patients. Our results suggest that in the tumor microenvironment as well as the peripheral blood of HCC patients there is a significant increase in the number of CD4+CD25+ T cells.
| Discussion |
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We used several cell surface markers to distinguish CD4+CD25+ regulatory T cells from activated cells. Although CD25 is the typical cell surface marker used to identify regulatory T cells, its specificity is not limited to regulatory T cells but also to other types of activated T cells. Therefore, we decided to include other, more specific surface markers, such as GITR, HLA-DR, CD45RO, CD152, and CD45RA, to identify regulatory T cells by flow cytometry (26, 27). This allowed for distinguishing T cells with regulatory properties from other activated CD4+ T cells in peripheral blood from HCC patients and controls. The stringent conditions used in our study led to sorting out a smaller population of CD4+CD25+ (i.e., CD4+CD25high cells), which represent
1% to 2% of CD4+ T cells in healthy people. In addition, we have analyzed Foxp3 expression in CD4+CD25+ cells from HCC patients and healthy donors by real-time PCR, because it has been shown recently that CD4+CD25high Treg specifically express this transcription factor (37, 38) and it is currently considered to be the most accurate marker to identify Tregs (29). We also found Foxp3 to be expressed almost exclusively by the CD4+CD25+ T-cell population. The cell surface marker analysis combined with Foxp3 expression led us to believe that the population detected in the peripheral blood of HCC patients is indeed CD4+CD25+ regulatory T cells.
We have shown that the prevalence of CD4+CD25high cells in peripheral blood of HCC patients was significantly higher in peripheral blood from patients with HCC than in healthy controls or patients with HBV/HCV infection. Our data show no significant differences in the number of regulatory T cells between healthy controls and patients with chronic HCV/HBV infection and therefore confirms data shown previously by others (39). One study has shown an increase of CD4+CD25+ cells in patients with HCV infection; however, in this study, less stringent criteria were used to identify Tregs and activated CD4+ T cells were not excluded (40).
In ex vivo assays, we also studied the function of regulatory T cells in HCC patients by analyzing their proliferative and suppressive abilities as well as cytokine profile. The CD4+CD25+ T cells from HCC patients had a potent suppressive activity, as they inhibited the proliferative response of CD4+CD25 T cells significantly upon T-cell receptor stimulation. This suppressive effect was similar in both HCC patients and healthy donors. Thus, the regulatory T cells from HCC patients do not have an impaired proliferative capacity. In addition, these cells secreted inhibitory cytokines, such as IL-10. The suppressive effect seen by CD4+CD25+ regulatory T cells in HCC patients was not cytokine mediated but rather cell-contact mediated as shown by Transwell analysis. Several groups have found the suppressive effect of regulatory T cells to be cell-contact dependent and not mediated by cytokines. However, other studies have shown that IL-10 and transforming growth factor-ß are responsible for the suppressive effect of regulatory T cells (41, 42). It is possible that although in our assays IL-10 does not seem to play a role in in vitromediated suppression, this cytokine might act synergistically in vivo with cell-contact mechanism to mediate suppression possibly by affecting other cell types.
To analyze the role of the regulatory T cells in tumor environment, we have also analyzed TILs and lymphocytes isolated from ascites. The CD4+CD25+ regulatory T cells isolated from HCC tumors were HLA-DR positive and GITR positive and also expressed Foxp3. Our data clearly showed that regulatory T-cell frequencies were increased not only in peripheral blood but also in ascites and in the tumor, suggesting that these T cells might suppress immune activation at the tumor site. Thus, the CD4+CD25+ T cells found in the TILs in HCC patients are clearly regulatory T cells and might play a role in hampering antitumor immune responses.
Recently, several studies have reported an increase in number of regulatory T cells in patients with different cancers (20, 23, 43, 44) . Several experimental models have shown that elimination of CD4+CD25+ cells can lead to effective antitumor immune responses. In mice, treatment with anti-CD25 monoclonal antibody led to regression of leukemia and fibrosarcoma (45). In another study, depletion of regulatory T cells resulted in a slower growth of B16 melanoma (16, 17). These studies combined with our data suggest that Tregs in human cancer might suppress tumor-specific immune responses.
In addition, we have started to analyze the influence of current treatment options for HCC on Treg frequencies. Our preliminary data suggest that elevated numbers of regulatory T cells drop after removal of HCC tumors, suggesting a clear dependency of an increase in the frequency of regulatory T cells and occurrence of HCC. Due to the low frequency of tumor-specific CD4+ T cells in HCC as described by us previously (9), analysis of the antigen specificity by classic MHC peptide tetramers (46) or cytokine secretion analysis has not been feasible. However, work is in progress to address antigen and tumor specificity of regulatory T cells in HCC patients.
Our data at this point do not provide any mechanistic explanation for role of regulatory T cells in HCC patients. It remains to be shown as to how the increase in regulatory T cells contributes to immune tolerance or inhibition of effective antitumor immune responses in HCC. It is possible that the presence of regulatory T cells at the tumor site promote the tumor growth. On the other hand, secretion of inhibitory factors by tumors might cause expansion of regulatory T cells.
In summary, our data suggest that in HCC patients there is an increase of regulatory T cells in peripheral blood and tumor microenvironment. These T cells might prevent affective antitumor immune responses, and in designing immunotherapy protocols for HCC, regulatory T cells are one more obstacle to overcome. These findings will prove to be important for design of immunotherapeutic approaches to HCC.
| Acknowledgments |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
We thank Matthias Ballmaier for technical assistance with the cell sorting using the FACSAria (Central Sorter Facility, Medizinische Hochschule Hannover) and Monique Hörning for collecting patient samples.
| Footnotes |
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Received 9/ 7/04. Revised 12/ 3/04. Accepted 1/ 5/05.
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G. C. Cesana, G. DeRaffele, S. Cohen, D. Moroziewicz, J. Mitcham, J. Stoutenburg, K. Cheung, C. Hesdorffer, S. Kim-Schulze, and H. L. Kaufman Characterization of CD4+CD25+ Regulatory T Cells in Patients Treated With High-Dose Interleukin-2 for Metastatic Melanoma or Renal Cell Carcinoma J. Clin. Oncol., March 1, 2006; 24(7): 1169 - 1177. [Abstract] [Full Text] [PDF] |
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D. Wolf, A. M. Wolf, H. Rumpold, H. Fiegl, A. G. Zeimet, E. Muller-Holzner, M. Deibl, G. Gastl, E. Gunsilius, and C. Marth The Expression of the Regulatory T Cell-Specific Forkhead Box Transcription Factor FoxP3 Is Associated with Poor Prognosis in Ovarian Cancer Clin. Cancer Res., December 1, 2005; 11(23): 8326 - 8331. [Abstract] [Full Text] [PDF] |
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F. Baratelli, Y. Lin, L. Zhu, S.-C. Yang, N. Heuze-Vourc'h, G. Zeng, K. Reckamp, M. Dohadwala, S. Sharma, and S. M. Dubinett Prostaglandin E2 Induces FOXP3 Gene Expression and T Regulatory Cell Function in Human CD4+ T Cells J. Immunol., August 1, 2005; 175(3): 1483 - 1490. [Abstract] [Full Text] [PDF] |
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